Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis

Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis

BackgroundAccurate preoperative grading of meningiomas is crucial for selecting the most suitable treatment strategies and predicting patient outcomes. Traditional MRI-based assessments are often insufficient to distinguish between low- and high-grade meningiomas reliably. Deep learning (DL) models...

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Main Authors: Parsia Noori Mirtaheri, Matin Akhbari, Farnaz Najafi, Hoda Mehrabi, Ali Babapour, Zahra Rahimian, Amirhossein Rigi, Saeid Rahbarbaghbani, Hesam Mobaraki, Sanaz Masoumi, Danial Nouri, Seyedeh-Tarlan Mirzohreh, Seyyed Kiarash Sadat Rafiei, Mahsa Asadi Anar, Zahra Golkar, Yasaman Asadollah Salmanpour, Ali Vesali Mahmoud, Mohammad Sadra Gholami Chahkand, Maryam Khodaei
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neurology
Subjects:
histopathological grading
deep learning
meningioma
meta-analysis
AI
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1536751/full
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https://www.frontiersin.org/articles/10.3389/fneur.2025.1536751/full

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